AI and IoT: Tech’s New BFFs
Enterprise interest in the Internet of Things and artificial intelligence are coming together, with AI helping the IoT do its job.
Big Data in the Cloud: Avoiding Vendor Lock-in
More enterprise application and big data vendors are pursuing a cloud-agnostic strategy -- supporting AWS, Microsoft Azure, and Google Cloud. Big data platform provider Hortonworks is taking that strategy one step farther.
The Right Fit: Choosing an AI Strategy
Dun & Bradstreet is transforming its own internal AI and analytics operations, even as it helps customers with their analytics and machine learning transformations.
5 Free Online Machine Learning Courses
Demand for machine learning professionals is growing faster than for any other job. If you are looking to gain the skills needed for that next stage in your career, check out our short list of free online machine learning courses.
Why AI is So Brilliant and So Stupid
For all of the promise that artificial intelligence represents, a successful AI initiative still requires all of the right pieces to come together.
Overstock Accelerates with Big Data Platform
Overstock is one of the granddaddies of Internet commerce with 20 years worth of customer data to support its marketing analytics. Here's how it increased the speed of models and analysis by 5x.
IBM Bets On Private Cloud Data Platform
Assembling the pieces to create a modern platform for data management, data governance, and data science can be complex. IBM says it's done the heavy lifting with a private, on-premises cloud platform to do the work.
9 Traits of Emerging Disruptors
Disruption causes quantum shifts in industries and societal behavior by digitizing the analog, upending economic models and otherwise challenging the status quo. The disruptors differently and act differently than the incumbents. Let's look at how.
How to Prepare for the Machine-Aided Future
More business processes and highly-specialized tasks are being targeted for automation with the goal of making people and companies more efficient. If you haven't considered how intelligent automation will affect your career and your company, and even if you have, following are some points to consider that may help you navigate the issue.
IoT, Data Visualization Warn Coastal Residents about Flooding
Spearheaded by the Virginia Institute of Marine Science, the StormSense project combines IoT sensors, cloud systems, predictive analytics modeling, and data visualization mapping to predict flooding impacts and deliver warnings to residents in the Virginia Beach area.
5 Common GDPR Misconceptions
A company's effort to comply with GDPR don't end on May 25. The work is ongoing, tied to a recognition of privacy as a fundamental right.
11 IT Leaders and Experts Share Highlights from Interop ITX
[VIDEO] If you missed Interop ITX or would like to relive it, we have you covered. We've compiled 11 interviews with IT leaders and experts who attended and spoke at Interop ITX 2018, including keynote speakers Sam Ramji, VP Product Management, Google Cloud and Joe Barkai, Consultant, Speaker, Author and Blogger.
Workforce Analytics Move Beyond HR
Workforce analytics have traditionally focused on HR's use of them when their value can actually have significant overall business impacts. Realizing this, more business leaders are demanding insights into workforce dynamics to unearth insights that weren't apparent before.
How C-Suite Leaders Can Best Implement AI
C-suite executives can't sit back and wait for the IT team to build out an enterprise strategy for artificial intelligence. Those execs have to get involved right from the start.
MIT Chaplain: Emerging Tech Leaders Care About Ethics
The Computer Age fueled the ever-accelerating pace of innovation, but as the Digital Age matures, there are plenty of discussions about tech ethics, especially in light of AI. Emerging tech leaders are more likely to include ethics as an integral part of innovation, according to MIT's first humanist chaplain, Greg Epstein. Here's why.
AI and Careers: Predicting Where The Jobs Will Be
Experts agree that artificial intelligence and automation will impact jobs -- eliminating many and creating some, too. Here's what a group of experts had to say during a Congressional hearing about just how AI will impact tomorrow's workforce.
Top IT Priority: Cloud. AI, Not So Much
IT organizations are focused on the cloud right now with automation and big data analytics also ranking pretty high on their to-do lists. AI, machine learning, and blockchain are down very low on the list of priorities.
AI Challenge: Achieving Artificial Empathy
As AI is woven deeper into different types of software and business processes, the success of it, particularly from customer experience and personalization standpoints, depends on its ability to recognize emotion and act accordingly. Will machines be able to achieve artificial empathy? Have they already? Following are some of the challenges and opportunities.